Dreаmix was founded 18 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.
We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.
We’re looking for a Senior Python Engineer with experience in building scalable systems and a strong interest or background in AI/ML pipelines to join our backend and AI platform team.
What you’ll do:
- Design and develop scalable, production-grade backend services using Python
- Build and maintain APIs and infrastructure that support AI/ML pipelines and models
- Work closely with Data Scientists and ML Engineers to deploy, monitor, and optimize machine learning models
- Develop and optimize data ingestion, preprocessing, and transformation pipelines
- Implement versioning, testing, and deployment for models in production (MLOps)
- Collaborate with cross-functional teams to define technical requirements for AI-powered features
- Contribute to AI model lifecycle management (training, evaluation, retraining, rollback)
- Integrate third-party AI APIs and frameworks into the platform
- Ensure reliability, observability, and scalability of AI components
- Stay up-to-date with emerging tools and best practices in AI engineering and MLOps
What we’re looking for:
- 5+ years of Python experience in a production environment
- Solid experience with Python frameworks like FastAPI, Flask, or Django
- Experience working with ML tools/frameworks like scikit-learn, PyTorch, TensorFlow, or Hugging Face
- Familiarity with LLMs, RAG architectures, or deploying generative AI models
- Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow, SageMaker, Vertex AI)
- Knowledge of building and deploying RESTful APIs for AI/ML services
- Strong understanding of data structures, algorithms, and software engineering best practices
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Proficiency with data storage solutions (SQL/NoSQL, time-series databases, etc.)
- Excellent communication and collaboration skills
Bonus points for:
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) or embedding search
- Knowledge of real-time data processing and streaming technologies (Kafka, Spark, etc.)
What you’ll get:
- A warm and supportive work environment where you can reach your full potential
- Flexible working hours that allow you to balance your work and personal life
- Unlimited home office to help you stay productive and focused
- Opportunities for professional development, including certifications and training
- Additional benefits for academic teaching and speaking engagements
- Knowledge-sharing sessions where you can learn from our Dreamix team
- Team and company-wide events that bring us together
- Amazing week long summer office and winter office initiatives
- Additional health insurance and dental allowance to ensure your well-being
- Multisport card to encourage a healthy and active lifestyle
- Office massages to help you relax and unwind
If you are interested in the opportunity, send us your CV in English!
Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!
By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.
